Game analysis of the knowledge sharing mechanism for the supply chain collaborative innovation

Abstract

Abstract:Purpose: In information economy era, innovation is the key to improve the competitiveness of enterprises. The traditional way of enterprise innovation is outdated and supply chain collaborative innovation has becoming popular. This paper aims to analyze the mechanism of knowledge sharing between enterprises in supply chain collaborative innovation.Design/methodology/approach: This paper analyzes the supply chain members' willingness to share knowledge by using the game theory. The result of knowledge sharing between two companies is analyzed by using the evolutionary game. Findings:We broke the knowledge sharing process in supply chain collaborative innovation into knowledge mining and knowledge transferring. We got the best knowledge sharing strategy of each supply chain member. We gave the influencing factors of knowledge sharing between members for the knowledge sharing mechanisms in supply chain collaborative innovation. Research limitations/implications:We didn't study the willingness of more than two supply chain members to share knowledge and the result of knowledge sharing between them. And this situation is more realistic. Practical implications:Our findings can help to improve the effect of knowledge sharing in supply chain collaborative innovation.-152-Journal of Industrial Engineering and Management -http://dx.doi.org/10.3926/jiem.1368 Originality/value: The paper introduces the game theory to knowledge sharing between members in supply chain collaborative innovation, deepens the understanding of knowledge sharing in supply chain collaborative innovation, and gives some interesting findings.

Knowledge Sharing Willingness and Leakage Risk: An Evolutional Game Model

“…While transaction cost economics emphasises the maximisation of economic benefits through contractual mechanisms, social exchange theory focuses on the importance of relational mechanisms through trust, commitment and relational norms [52]. Following the social exchange approach, a critical condition for KS would be the establishment of trust between sharing parties [7,53], as inter-organisational trust would be able to encourage information sharing [54,55], to create value through negotiations [56], and to generate familiarity between partners through interpersonal interactions and social exchange [54,56]. Shared goals, relational embeddedness, and influence strategies have been identified as major relational antecedents of inter-organisational trust, which in turn diminishes the probability of opportunistic behaviour, strengthens social bonds between SC partners and secures exchange benefits [20].…”

“…Through building a dynamic game model of KS, Erkal and Minehart [62] examined the impact of inter-firm competition on collaborative behaviour in R&D cooperation. By using evolutionary game model, Liu, et al [53] analysed the best knowledge-sharing strategies for firms to be engaged in SC collaborative innovation. Through developing a game model for knowledge-sharing strategies at the interpersonal level, Ho, et al [59] assessed the dynamics of individual behaviour within organizations in terms of KS.…”

“…The game participants are able to improve their decision-making in selecting an optimum strategy by learning from repeated scenarios in the past. When all parties have improved their strategies, a stable result in the game named Evolutionary Stable Strategy (ESS) is reached [53,63].…”

Dynamic Evolution of Knowledge Sharing Behavior among Enterprises in the Cluster Innovation Network Based on Evolutionary Game Theory

“…Chen [51] establishes an asymmetrical evolutionary game model of enterprise supervision to regard contextual factors and individual factors as risk preferences of knowledge wForkers. By using evolutionary game model, Liu et al [52] analysis the best knowledge-sharing strategies for firms to be engaged in supply chain collaborative innovation. Erkal and Minehart [53] build a theoretical foundation for the dynamics of knowledge sharing in private industry, and examine the impact of inter-firm competition on knowledge sharing behavior in R&D cooperation.…”

External Social Capital, Inter-Organizational Knowledge Trading and Enterprise Innovation Performance in Supply Chain: Evidence from Manufacturing Enterprises in China

“…Previous studies of China regarding the inter-organizational knowledge trading in supply chain focused on theoretical research, such as the influencing factors of knowledge market in supply chain and the theoretical research of knowledge trading modes (Zhang et al, 2006;Xu et al, 2008;Zhao et al, 2014). Then, considering that inter-organizational knowledge trading and cooperative innovation activities have certain social background and organizational context, scholars gradually introduced variables related to organizational context and empirically studied their influence on supply chain inter-organizational knowledge trading and enterprise performance, such as research on influence of characteristics of supply chain partners (Chen & Zhang, 2013), partnerships (including variables such as trust, relationship commitment and relationship quality) (Chen et al, 2012;Cheng & Fu, 2013;Chen et al, 2016), cooperative mechanisms (market mechanisms and relationship mechanisms) (Zhang et al, 2012;Liu & Chen, 2015) on inter-organizational knowledge trading and enterprise performance (cooperative performance, innovation performance, etc.). However, in view of the members needing to connect with external suppliers, manufacturers, distributors, retailers and other external social networks in inter-organizational knowledge trading and cooperative innovation, according to the theory of social capital, external social capital of members in supply chain will inevitably affect the organizational context of operation (Hung et al, 2014), and therefore will affect the inter-organizational knowledge trading and cooperative innovation performance in supply chain.…”